AI decision-support platform for defense and national security
Rhombus Power builds AI-driven predictive decision support for U.S. defense and national security customers, with active work on its Artemis and Guardian platforms. A polyglot stack spanning AWS, GCP and Azure plus QGIS, ArcGIS and HPC points to multi-cloud, geospatial-heavy workloads. Accelerating, data-led hiring centers on annotation scale, labeling quality and pipelines for text, video and overhead imagery.
Rhombus Power is a privately held company headquartered in Palo Alto, California, founded in 2011. It provides an AI platform that combines multi-domain data, predictive modeling and human analysis to support decision-making for U.S. Government leaders and international partners. Its work includes intelligence assessments, predictive model deployment and briefings for defense and national security audiences. The company has 51–200 employees and hires in the United States and India.
Rhombus Power uses Python, Pandas, NumPy, Java, C++, Scala, PostgreSQL, MongoDB, DynamoDB and HBase, running on AWS, GCP and Azure with Kubernetes, Docker and GitLab, plus QGIS and ArcGIS for geospatial work.
Yes. Hiring is accelerating, led by data roles with additional openings in product, security and engineering, mostly at mid-level, across the United States and India.
Current work includes the Artemis and Guardian platforms, ambient AI, deploying predictive models for defense and national security, and AI analysis of text, video and overhead imagery.
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Rhombus Power Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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